Foldable Call Audio Adjustment for Voice-Preserving Noise Cancellation
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Solution Overview
Problem
Conventional noise canceling technologies in electronic devices fail to distinguish between a speaker's voice and ambient noise effectively, especially in varying form factors like foldable or slidable devices, leading to the potential misidentification of the speaker's voice as noise and the need for dynamic audio signal adjustments based on device configuration.
Innovation Solution
An electronic device equipped with a flexible display, microphones, sensors, and processors that dynamically adjust sound signals based on the device's folding state, particularly for video calls, to enhance noise cancellation by amplifying the speaker's voice while reducing other sound signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional noise canceling technology removes the largest sound signal as noise, then ambient noise is reduced, but the speaker's voice is mistakenly removed when it is larger than ambient noise
Solution Approach 1:
The system dynamically adjusts noise cancellation parameters based on the folding state of the device. When the device is folded, the microphone positions change relative to the speaker's mouth, so the noise cancellation algorithm adapts its reference signals accordingly. This dynamic adaptation prevents the speaker's voice from being mistakenly identified as noise while still effectively canceling ambient noise.
Solution Approach 2:
The system changes the operational parameters of the noise cancellation algorithm based on the device's folding state. Different folding configurations require different parameter settings for the reference microphones to correctly identify and cancel ambient noise without affecting the speaker's voice. This parameter adjustment resolves the contradiction between noise reduction and voice preservation.
2Adaptability or versatility
If the microphone position changes according to the form factor of the electronic device, then the device adapts to different configurations, but dynamic adjusting of audio signals is required which increases system complexity
Solution Approach 1:
The system uses feedback from sensors that detect the folding state to automatically adjust audio signal parameters. The sensor input provides real-time information about the device configuration, and the system responds by adjusting the noise cancellation parameters accordingly. This feedback mechanism enables automatic adaptation without requiring complex manual configuration or user intervention.
Solution Approach 2:
The noise cancellation system automatically adjusts itself based on the detected folding state without requiring external control. The system monitors its own configuration through integrated sensors and self-adjusts the audio processing parameters, reducing the need for complex external control systems and simplifying the overall architecture.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively enhances noise cancellation during video calls by adjusting sound signals based on the device's form factor, ensuring the speaker's voice is prioritized and ambient noise is minimized, thereby improving audio clarity in noisy environments.
Implementation Method 1
identifying a folding state of the electronic device through the sensor
Implementation Method 2
adjust a sound signal received through the at least one microphone based on the folding state
Data Source
AI summary
According to an embodiment, an electronic device may comprise: a flexible display, at least one microphone, a sensor, a communication module comprising communication circuitry, and at least one processor operatively connected with the flexible display, the at least one microphone, the sensor, and the communication module. The at least one processor may be configured to: based on receiving a call signal from an external electronic device through the communication module, identify whether the call signal is a video call signal, based on the call signal being the video call signal, identify a folding state of the electronic device through the sensor, adjust a sound signal received through the at least one microphone based on the folding state, and control the communication module to transmit the adjusted sound signal to the external electronic device.